Data cleansing tools for Internal Auditors

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jceresearch from gravatar.com jceresearch

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: jceresearch
  • Tags internal audit, munging, cleansing, audit
  • Requires: Python >=3.8, <4.0
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for jceresearch from gravatar.com jceresearch

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: jceresearch
  • Tags internal audit, munging, cleansing, audit
  • Requires: Python >=3.8, <4.0
Classifiers

Release history Release notifications | RSS feed

0.1.8

0.1.7

0.1.6

0.1.5

0.1.4

0.1.3

0.1.2

0.1.1

0.0.17

0.0.16

0.0.15

0.0.14

0.0.13

0.0.12

0.0.11

0.0.10

0.0.9

0.0.8

0.0.7

This version

0.0.6

0.0.5

0.0.4

0.0.3

0.0.2

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydit-jceresearch-0.0.6.tar.gz (29.9 kB view details)

Uploaded Source

Built Distribution

pydit_jceresearch-0.0.6-py3-none-any.whl (39.6 kB view details)

Uploaded Python 3

File details

Details for the file pydit-jceresearch-0.0.6.tar.gz.

File metadata

  • Download URL: pydit-jceresearch-0.0.6.tar.gz
  • Upload date:
  • Size: 29.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.12 Darwin/19.6.0

File hashes

Hashes for pydit-jceresearch-0.0.6.tar.gz
Algorithm Hash digest
SHA256 0827f32d34169aeecda5af6751c678cd004d3f5ef04dcccf7483ea6120c42ae9
MD5 0aff361c34f002b900c00509c0b61044
BLAKE2b-256 d97e5b3a479a255dc1425fcae234552a52ac1a1ef7d9e3bff934c1f4848bb3af

See more details on using hashes here.

File details

Details for the file pydit_jceresearch-0.0.6-py3-none-any.whl.

File metadata

File hashes

Hashes for pydit_jceresearch-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 e5ea362985c329ac1c02dd5bfbb7c90431a6112e3a3b3b779eb7c7578a277d53
MD5 537e2ab5234ebf1aab8e06686008f1f2
BLAKE2b-256 c76012d44e9fcf811a9b8af55132866c95ff12cec575a63ab4b95dec69b395ac

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page